code: def plot_trends(sweeps, names, metrics, filters, max_cols=0):
      """Plots metric versus sweep for each metric."""
      n_metrics, xs = len(metrics), range(len(sweeps))
      max_cols = max_cols if max_cols else len(sweeps)
      m = int(np.ceil(n_metrics / max_cols))
      n = min(max_cols, int(np.ceil(n_metrics / m)))
      fig, axes = fig_make(m, n, True, sharex=False, sharey=False)
      [ax.axis("off") for ax in axes[n_metrics::]]
      for ax, metric in zip(axes, metrics):
          # Get values to plot
          vals = [get_vals(sweep, metric) for sweep in sweeps]
          vs_min, vs_max = [min(v) for v in vals], [
              max(v) for v in vals
          ]
          fs_min, fs_med, fs_max = zip(*[f[metric] for f in filters])
          # Show full range
          ax.plot(xs, vs_min, "-", xs, vs_max, "-", c="0.7")
          ax.fill_between(
              xs, vs_min, vs_max, alpha=0.05, color=_COLOR_FILL
          )
          # Show good range
          ax.plot(xs, fs_min, "-", xs, fs_max, "-", c="0.5")
          ax.fill_between(
              xs, fs_min, fs_max, alpha=0.10, color=_COLOR_FILL
          )
          # Show best range
          ax.plot(xs, fs_med, "-o", c="k")
          # Show good range with markers
          ax.scatter(
              xs, fs_min, c=get_color(xs), marker="^", s=80, zorder=10
          )
          ax.scatter(
              xs, fs_max, c=get_color(xs), marker="v", s=80, zorder=10
          )
          # Finalize axis
          ax.set_ylabel(get_info(metric)[1])
          ax.set_xticks([])
          ax.set_xlabel("sweep")
      fig_legend(fig, n, names, markers="D")
      return fig
  
file_path: pycls/pycls/sweep/plotting.py
imports: import matplotlib.lines
  import matplotlib.pyplot
  import matplotlib.ticker
  import numpy
  import pycls.models.regnet
  from pycls.sweep.analysis import get_info, get_vals, sort_sweep
label_desc: Use image node_id 10 for calling a global function with example usage: plot_trends(sweeps, names, metrics, filters, max_cols) and returns: fig